Commit
•
e550a22
1
Parent(s):
b0077af
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +468 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-1_180-samples_config-2_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mistral-7B_task-1_180-samples_config-2_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3901
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.0549 | 0.9412 | 8 | 0.9900 |
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| 0.8222 | 2.0 | 17 | 0.8564 |
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| 0.7511 | 2.9412 | 25 | 0.7989 |
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| 0.5644 | 4.0 | 34 | 0.7933 |
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| 0.3911 | 4.9412 | 42 | 0.9403 |
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| 0.2483 | 6.0 | 51 | 1.0407 |
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| 0.1183 | 6.9412 | 59 | 1.1922 |
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| 0.0848 | 8.0 | 68 | 1.2871 |
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| 0.0657 | 8.9412 | 76 | 1.3606 |
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| 0.0445 | 10.0 | 85 | 1.3682 |
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| 0.0398 | 10.9412 | 93 | 1.3901 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:880845919083852056f38bb89a765a25120b554fda03861744d562a315c5eb9c
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size 167832240
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all_results.json
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{
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"epoch": 10.941176470588236,
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"total_flos": 2.518477265751245e+16,
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"train_loss": 0.3923261252141768,
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"train_runtime": 1825.5377,
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"train_samples": 136,
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"train_samples_per_second": 3.725,
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"train_steps_per_second": 0.219
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}
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train_results.json
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{
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"epoch": 10.941176470588236,
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"total_flos": 2.518477265751245e+16,
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"train_loss": 0.3923261252141768,
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"train_runtime": 1825.5377,
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"train_samples": 136,
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"train_samples_per_second": 3.725,
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"train_steps_per_second": 0.219
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}
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trainer_state.json
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{
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| 2 |
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"best_metric": 0.7932864427566528,
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| 3 |
+
"best_model_checkpoint": "data/Mistral-7B_task-1_180-samples_config-2_auto/checkpoint-34",
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| 4 |
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"epoch": 10.941176470588236,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 93,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
|
| 11 |
+
{
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| 12 |
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"epoch": 0.11764705882352941,
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| 13 |
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"grad_norm": 2.450850009918213,
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| 14 |
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"learning_rate": 2.5e-06,
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| 15 |
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"loss": 1.0532,
|
| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.23529411764705882,
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| 20 |
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"grad_norm": 2.664348602294922,
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| 21 |
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"learning_rate": 5e-06,
|
| 22 |
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"loss": 1.038,
|
| 23 |
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"step": 2
|
| 24 |
+
},
|
| 25 |
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{
|
| 26 |
+
"epoch": 0.47058823529411764,
|
| 27 |
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"grad_norm": 2.440438985824585,
|
| 28 |
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"learning_rate": 1e-05,
|
| 29 |
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"loss": 1.1264,
|
| 30 |
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"step": 4
|
| 31 |
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},
|
| 32 |
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